Classical confidence intervals for the ratio of variance components can degenerate to a single point with positive probability, leaving no allowance for error. An alternative method is considered which avoids this problem, but maintains the frequentist coverage probability. The alternative intervals are then compared to Bayesian credible intervals, derived from a non-informative prior; and the Bayesian intervals are shown to have quite high frequentist coverage probabilities.